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Open Source Computer Vision Library
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82 lines
2.0 KiB
82 lines
2.0 KiB
#include <iomanip> |
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#include "performance.h" |
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using namespace std; |
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using namespace cv; |
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void Test::gen(Mat& mat, int rows, int cols, int type, Scalar low, Scalar high) |
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{ |
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mat.create(rows, cols, type); |
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RNG rng(0); |
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rng.fill(mat, RNG::UNIFORM, low, high); |
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} |
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void TestSystem::run() |
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{ |
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cout << setiosflags(ios_base::left); |
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cout << " " << setw(10) << "CPU, ms" << setw(10) << "GPU, ms" |
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<< setw(10) << "SPEEDUP" << "DESCRIPTION\n"; |
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cout << resetiosflags(ios_base::left); |
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vector<Test*>::iterator it = tests_.begin(); |
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for (; it != tests_.end(); ++it) |
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{ |
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Test* test = *it; |
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cout << endl << test->name() << ":\n"; |
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test->run(); |
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flush(); |
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} |
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cout << setiosflags(ios_base::fixed | ios_base::left); |
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cout << "\nAverage GPU Speedup: x" << setprecision(3) |
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<< speedup_total_ / num_subtests_called_ << endl; |
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cout << resetiosflags(ios_base::fixed | ios_base::left); |
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} |
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void TestSystem::flush() |
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{ |
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if (!can_flush_) |
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return; |
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int cpu_time = static_cast<int>(cpu_elapsed_ / getTickFrequency() * 1000.0); |
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int gpu_time = static_cast<int>(gpu_elapsed_ / getTickFrequency() * 1000.0); |
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cpu_elapsed_ = 0; |
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gpu_elapsed_ = 0; |
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double speedup = static_cast<double>(cpu_time) / std::max(1, gpu_time); |
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speedup_total_ += speedup; |
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cout << " " << setiosflags(ios_base::fixed | ios_base::left); |
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stringstream stream; |
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stream << cpu_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << gpu_time; |
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cout << setw(10) << stream.str(); |
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stream.str(""); |
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stream << "x" << setprecision(3) << speedup; |
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cout << setw(10) << stream.str(); |
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cout << description_.str(); |
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description_.str(""); |
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cout << resetiosflags(ios_base::fixed | ios_base::left) << endl; |
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can_flush_ = false; |
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num_subtests_called_++; |
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} |
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int main() |
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{ |
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TestSystem::instance()->run(); |
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return 0; |
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} |